code: def get_langchain_class(class_name: str) -> Embeddings:
      """Returns the class object of the handler class.
  
      Args:
          class_name (str): Name of the class
  
      Returns:
          langchain.embeddings.BaseEmbedding: The class object
      """
      try:
          module = importlib.import_module("langchain.embeddings")
          class_ = getattr(module, class_name)
      except ImportError:
          raise Exception(
              "The langchain is not installed. Please install it with `pip install langchain`."
          )
      except AttributeError:
          raise Exception(
              f"Could not find the class {class_name} in langchain.embeddings. Please check the class name."
          )
      return class_
  
file_path: mindsdb/mindsdb/integrations/handlers/langchain_embedding_handler/langchain_embedding_handler.py
imports: import copy
  import importlib
  from typing import Dict, Union
  import pandas
  from langchain.embeddings.base import Embeddings
  from pandas import DataFrame
  from mindsdb.integrations.libs.base import BaseMLEngine
  from mindsdb.utilities import log
label_desc: Use image node_id 1 for calling a global function with example usage: get_langchain_class(class_name) and returns: class_